Latitudinal variability of the dynamic linkage between temperature and atmospheric carbon dioxide concentrations

[1]  Panchanan Das Multivariate Analysis , 2019, Robust Statistics.

[2]  F. Mazzocchi,et al.  A multi-approach strategy in climate attribution studies: Is it possible to apply a robustness framework? , 2015 .

[3]  M. Watanabe,et al.  Robust Seasonality of Arctic Warming Processes in Two Different Versions of the MIROC GCM , 2014 .

[4]  F. Estrada,et al.  Detection and attribution of climate change through econometric methods , 2014, Boletín de la Sociedad Matemática Mexicana.

[5]  D. Hendry,et al.  Comment on "Polynomial cointegration tests of anthropogenic impact on global warming" by Beenstock et al. (2012) - some hazards in econometric modelling of climate change , 2013 .

[6]  Umberto Triacca,et al.  Anthropogenic global warming hypothesis: testing its robustness by Granger causality analysis , 2013 .

[7]  M. Beenstock,et al.  Polynomial cointegration tests of anthropogenic impact on global warming , 2012 .

[8]  R. Barry,et al.  Processes and impacts of Arctic amplification: A research synthesis , 2011 .

[9]  J. Stock,et al.  Does temperature contain a stochastic trend? Evaluating conflicting statistical results , 2010 .

[10]  W. Landman Climate change 2007: the physical science basis , 2010 .

[11]  I. Simmonds,et al.  The central role of diminishing sea ice in recent Arctic temperature amplification , 2010, Nature.

[12]  M. Holland,et al.  The emergence of surface-based Arctic amplification , 2008 .

[13]  Edoardo Otranto,et al.  Clustering heteroskedastic time series by model-based procedures , 2008, Comput. Stat. Data Anal..

[14]  Umberto Triacca,et al.  Testing for Equal Predictability of Stationary ARMA Processes , 2007 .

[15]  Helmut Ltkepohl,et al.  New Introduction to Multiple Time Series Analysis , 2007 .

[16]  Heikki Kauppi,et al.  Emissions, Concentrations, & Temperature: A Time Series Analysis , 2006 .

[17]  A. Pasini,et al.  Neural network modelling for the analysis of forcings/temperatures relationships at different scales in the climate system , 2006 .

[18]  Hui Liu,et al.  Human activities and global warming: a cointegration analysis , 2005, Environ. Model. Softw..

[19]  Salvatore Grimaldi,et al.  Linear Parametric Models Applied to Hydrological Series , 2004 .

[20]  G. Boer,et al.  Dynamical aspects of climate sensitivity , 2003 .

[21]  G. Myhre,et al.  New estimates of radiative forcing due to well mixed greenhouse gases , 1998 .

[22]  K. Trenberth,et al.  Coordinated heat removal from the equatorial Pacific during the 1986–87 El Niño , 1998 .

[23]  D. Stern,et al.  Evidence for human influence on climate from hemispheric temperature relations , 1997, Nature.

[24]  Muhong Wang,et al.  Global warming and global dioxide emission : An empirical study , 1996 .

[25]  D. Etheridge,et al.  Natural and anthropogenic changes in atmospheric CO2 over the last 1000 years from air in Antarctic ice and firn , 1996 .

[26]  Syukuro Manabe,et al.  Transient Response of a Global Ocean-Atmosphere Model to a Doubling of Atmospheric Carbon Dioxide , 1990 .

[27]  D. Piccolo A DISTANCE MEASURE FOR CLASSIFYING ARIMA MODELS , 1990 .

[28]  C. Sims MACROECONOMICS AND REALITY , 1977 .

[29]  A. Zellner,et al.  Time series analysis and simultaneous equation econometric models , 1974 .

[30]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[31]  Marcella Corduas,et al.  Time series clustering and classification by the autoregressive metric , 2008, Comput. Stat. Data Anal..

[32]  G. Hegerl,et al.  Understanding and Attributing Climate Change , 2007 .

[33]  Elizabeth Ann Maharaj,et al.  A SIGNIFICANCE TEST FOR CLASSIFYING ARMA MODELS , 1996 .

[34]  Jesus Gonzalo,et al.  RELATIVE POWER OF t TYPE TESTS FOR STATIONARY AND UNIT ROOT PROCESSES , 1996 .